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Agent skills collection for legal research and automation
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | legal-agent-skills-guide |
| description | Agent skills collection for legal research and automation |
| metadata | {"openclaw":{"emoji":"⚖️","category":"domains","subcategory":"law","keywords":["legal AI","legal automation","legal research","agent skills","contract analysis","case law"],"source":"https://github.com/lawvable/awesome-legal-skills"}} |
A curated collection of agent skills for legal research and automation — contract analysis, case law search, regulatory compliance checking, legal document drafting, and citation verification. Each skill provides structured capabilities that AI agents can use to assist with legal workflows. Designed for legal researchers, law firms, and compliance teams.
Legal Agent Skills
├── Research Skills
│ ├── Case law search (by jurisdiction, topic)
│ ├── Statute lookup (federal, state, international)
│ ├── Legal commentary search
│ └── Regulatory tracking
├── Analysis Skills
│ ├── Contract clause extraction
│ ├── Risk assessment
│ ├── Compliance checking
│ └── Legal argument analysis
├── Drafting Skills
│ ├── Contract drafting
│ ├── Legal memo writing
│ ├── Motion drafting
│ └── Compliance reports
├── Citation Skills
│ ├── Bluebook formatting
│ ├── Citation verification
│ ├── Shepard's-style validation
│ └── Cross-reference linking
└── Practice Management
├── Case timeline construction
├── Discovery document review
├── Deposition summary
└── Billing narrative generation
# Search case law databases
from legal_skills import CaseLawSearch
search = CaseLawSearch(jurisdictions=["federal", "california"])
cases = search.find(
query="AI liability product defect",
date_range=("2020-01-01", "2025-12-31"),
court_level="appellate",
max_results=20,
)
for case in cases:
print(f"{case.name} ({case.year})")
print(f" Court: {case.court}")
print(f" Key holding: {case.holding[:100]}...")
print(f" Citation: {case.citation}")
from legal_skills import ContractAnalyzer
analyzer = ContractAnalyzer()
# Analyze contract
analysis = analyzer.analyze("contract.pdf")
print("Risk Assessment:")
for risk in analysis.risks:
print(f" [{risk.severity}] {risk.clause}: {risk.description}")
print("\nKey Terms:")
for term in analysis.key_terms:
print(f" {term.name}: {term.value}")
print("\nMissing Clauses:")
for missing in analysis.missing_clauses:
print(f" - {missing}")
from legal_skills import BluebookFormatter
formatter = BluebookFormatter()
# Format citation
citation = formatter.format(
case_name="Brown v. Board of Education",
volume=347,
reporter="U.S.",
page=483,
year=1954,
)
print(citation)
# Brown v. Board of Education, 347 U.S. 483 (1954).
# Verify citation
valid = formatter.verify("347 U.S. 483")
print(f"Valid: {valid.is_valid}, Case: {valid.case_name}")
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
公司金融实证研究的"漏斗式选题查找器"。互动开场先后询问 (1) 研究方向、(2) 候选标题数量 N， 再扫描全球文献（已出版英文学术期刊 + SSRN working paper + 全球高校 department seminar 1 年内日程），基于 Edmans (2024) "1000 Rejections" 红线生成 N 个候选标题，**通过并行 subagent（Agent 工具）批量生成计划书 + 查新；每个 subagent 必须强制调用 Skill 工具加载 econfin-proposal 与 novelty-check 两个预设 skill 完成各自模块**，**只有当 novelty score >= 9 时（即 JF/JFE/RFS 顶刊层次），subagent 才把 proposal + 查新报告合并的 md 写入 F:\Dropbox\CC\选题大全\<研究方向短名>\（以"简短选题名称-分数"命名，子文件夹名由 Step 0 从用户输入的研究方向派生）；< 9 分的选题在 subagent 内部直接丢弃，绝不写盘、绝不输出**。当用户说"找选题"、"帮我找选题"、"想做 X 方向"、 "empirical CF idea search"、"批量生成研究计划书"、"100 ideas"、"econfin-idea-finder" 时触发。
Create and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy. Use when making slides, creating decks, or compiling .tex presentation files.
Scaffold a new research project with standard directory structure, CLAUDE.md template, and documented README. Use this at the start of every new project to ensure consistent organization.
Download, split, and deeply read academic PDFs. Use when asked to read, review, or summarize an academic paper. Splits PDFs into 4-page chunks, reads them in small batches, and produces structured reading notes — avoiding context window crashes and shallow comprehension.
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.